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ORCIDValdir Grassi Jr.
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- affiliation: University of São Paulo, Brazil
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2020 – today
- 2024
[j14]André Przewodowski
, Fernando Santos Osório, Valdir Grassi Junior:
Global Localization using OpenStreetMap and Elevation Offsets. J. Braz. Comput. Soc. 30(1): 264-273 (2024)- [j13]Eduardo Godinho Ribeiro, Raul de Queiroz Mendes, Marco H. Terra, Valdir Grassi Jr.:
Second-Order Position-Based Visual Servoing of a Robot Manipulator. IEEE Robotics Autom. Lett. 9(1): 207-214 (2024) - [j12]Júnior Anderson Rodrigues da Silva, Valdir Grassi Jr., Denis Fernando Wolf:
Maximum Entropy Inverse Reinforcement Learning Using Monte Carlo Tree Search for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 25(9): 11552-11562 (2024) - 2023
- [j11]Filipe C. A. Lins, Nícolas dos Santos Rosa, Valdir Grassi Jr., Adelardo A. D. Medeiros, Pablo Javier Alsina:
DPO: Direct Planar Odometry with Stereo Camera. Sensors 23(3): 1393 (2023) - [c32]Augusto Ribeiro Castro, Valdir Grassi Jr.:
Learning to Estimate Multivariate Uncertainty in Deep Pedestrian Trajectory Prediction. LARS/SBR/WRE 2023: 415-420 - [i9]Kenny A. Q. Caldas, Filipe Marques Barbosa, Júnior A. R. Silva, Tiago C. dos Santos, Iago Pachêco Gomes, Luis Alberto Rosero, Denis F. Wolf, Valdir Grassi Jr.:
Autonomous driving of trucks in off-road environment. CoRR abs/2312.07382 (2023) - 2022
- [j10]Gustavo Alves Prudencio de Morais, Lucas Barbosa Marcos, Filipe Marques Barbosa, Bruno Henrique Groenner Barbosa, Marco Henrique Terra, Valdir Grassi Jr.:
Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization. Expert Syst. Appl. 192: 116304 (2022) - [j9]Angelica Tiemi Mizuno Nakamura, Valdir Grassi Jr., Denis Fernando Wolf:
Leveraging convergence behavior to balance conflicting tasks in multi-task learning. Neurocomputing 511: 43-53 (2022) - [j8]Júnior Anderson Rodrigues da Silva, Iago Pachêco Gomes, Denis Fernando Wolf, Valdir Grassi Jr.:
Sparse Road Network Model for Autonomous Navigation Using Clothoids. IEEE Trans. Intell. Transp. Syst. 23(2): 885-898 (2022) - [c31]Gabriel Soares Gama, Nicolas dos Santos Rosa, Valdir Grassi Jr.:
Semantic SuperPoint: A Deep Semantic Descriptor. LARS/SBR/WRE 2022: 294-299 - [c30]Eduardo Godinho Ribeiro, Raul de Queiroz Mendes, Marco H. Terra, Valdir Grassi Jr.:
Dynamic Parameter Identification of a 7-DoF Lightweight Robot Manipulator Using Probabilistic Differential Optimization. SMC 2022: 1917-1923 - [c29]Augusto Ribeiro Castro, Valdir Grassi Jr., Moacir A. Ponti:
Deep Depth Completion of Low-cost Sensor Indoor RGB-D using Euclidean Distance-based Weighted Loss and Edge-aware Refinement. VISIGRAPP (4: VISAPP) 2022: 204-212 - [i8]Angelica Tiemi Mizuno Nakamura, Denis Fernando Wolf, Valdir Grassi Jr.:
Leveraging convergence behavior to balance conflicting tasks in multi-task learning. CoRR abs/2204.06698 (2022) - [i7]Gabriel S. Gama, Nícolas dos Santos Rosa, Valdir Grassi Jr.:
Semantic SuperPoint: A Deep Semantic Descriptor. CoRR abs/2211.01098 (2022) - 2021
- [j7]Angelica Tiemi Mizuno Nakamura, Valdir Grassi Jr., Denis Fernando Wolf:
An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation. Eng. Appl. Artif. Intell. 100: 104205 (2021) - [j6]Raul de Queiroz Mendes, Eduardo Godinho Ribeiro, Nicolas dos Santos Rosa, Valdir Grassi Jr.:
On deep learning techniques to boost monocular depth estimation for autonomous navigation. Robotics Auton. Syst. 136: 103701 (2021) - [j5]Eduardo Godinho Ribeiro, Raul de Queiroz Mendes, Valdir Grassi Jr.:
Real-time deep learning approach to visual servo control and grasp detection for autonomous robotic manipulation. Robotics Auton. Syst. 139: 103757 (2021) - [c28]Eduardo Godinho Ribeiro, Raul de Queiroz Mendes, Marco H. Terra, Valdir Grassi Jr.:
Bayesian Optimization for Efficient Tuning of Visual Servo and Computed Torque Controllers in a Reinforcement Learning Scenario. ICAR 2021: 282-289 - [c27]Luiz Ricardo Takeshi Horita, Angelica Tiemi Mizuno Nakamura, Denis F. Wolf, Valdir Grassi Junior:
Improving multi-goal and target-driven reinforcement learning with supervised auxiliary task. ICAR 2021: 290-295 - [c26]Júnior Anderson Rodrigues da Silva, Valdir Grassi Jr., Denis Fernando Wolf:
Decision Making for Autonomous Vehicles at Signalized Intersection under Uncertain Traffic Signal Phase and Timing Information. ICAR 2021: 619-624 - [c25]Anderson Carlos Dos Santos, Valdir Grassi Jr.:
Pedestrian Trajectory Prediction with Pose Representation and Latent Space Variables. LARS/SBR/WRE 2021: 192-197 - [c24]Vítor A. S. Silva, Valdir Grassi Jr.:
Addressing Lane Keeping and Intersections using Deep Conditional Reinforcement Learning. LARS/SBR/WRE 2021: 330-335 - 2020
- [c23]Luiz Ricardo Takeshi Horita, Denis Fernando Wolf, Valdir Grassi Jr.:
Effective Deep Reinforcement Learning Setups for Multiple Goals on Visual Navigation. IJCNN 2020: 1-8 - [c22]Raul de Queiroz Mendes, Eduardo Godinho Ribeiro, Nicolas dos Santos Rosa, Valdir Grassi Jr.:
Depth Completion with Morphological Operations: An Intermediate Approach to Enhance Monocular Depth Estimation. LARS/SBR/WRE 2020: 1-6 - [c21]Nícolas dos Santos Rosa, Roseli Aparecida Francelin Romero, Valdir Grassi Jr.:
A Survey on the Aspects of Human-Robot Interaction in Autonomous Vehicles. LARS/SBR/WRE 2020: 1-6 - [i6]Eduardo Godinho Ribeiro, Raul de Queiroz Mendes, Valdir Grassi Jr.:
Real-Time Deep Learning Approach to Visual Servo Control and Grasp Detection for Autonomous Robotic Manipulation. CoRR abs/2010.06544 (2020) - [i5]Raul de Queiroz Mendes, Eduardo Godinho Ribeiro, Nicolas dos Santos Rosa, Valdir Grassi Jr.:
On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation. CoRR abs/2010.06626 (2020) - [i4]Gustavo Alves Prudencio de Morais, Lucas Barbosa Marcos, Filipe Marques Barbosa, Bruno Henrique Groenner Barbosa, Marco Henrique Terra, Valdir Grassi Jr.:
Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization. CoRR abs/2010.07255 (2020)
2010 – 2019
- 2019
- [c20]Eduardo Godinho Ribeiro, Valdir Grassi Jr.:
Fast Convolutional Neural Network for Real-Time Robotic Grasp Detection. ICAR 2019: 49-54 - [c19]Kenny A. Q. Caldas, Valdir Grassi Jr.:
Eco-cruise NMPC Control for Autonomous Vehicles. ICAR 2019: 356-361 - [c18]Júnior A. R. Silva, Valdir Grassi Jr., Denis Fernando Wolf:
Continuous Deep Maximum Entropy Inverse Reinforcement Learning using online POMDP. ICAR 2019: 382-387 - [c17]Wenderson Gustavo Serrantola, Valdir Grassi Jr.:
Trajectory Planning for a Dual-Arm Planar Free-Floating Manipulator using RRTControl. ICAR 2019: 394-399 - [c16]Nícolas dos Santos Rosa, Vitor Guizilini, Valdir Grassi Jr.:
Sparse-to-Continuous: Enhancing Monocular Depth Estimation using Occupancy Maps. ICAR 2019: 793-800 - 2018
- [j4]Mauricio E. Nakai, Roberto S. Inoue, Marco H. Terra, Valdir Grassi Jr.:
Robust Discrete-Time Markovian Control for Wheeled Mobile Robot Formation: A Fault Tolerant Approach. J. Intell. Robotic Syst. 91(2): 233-247 (2018) - [c15]Júnior A. R. Silva, Valdir Grassi Jr.:
Clothoid-Based Global Path Planning for Autonomous Vehicles in Urban Scenarios. ICRA 2018: 4312-4318 - [c14]Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.:
Learning to Race Through Coordinate Descent Bayesian Optimisation. ICRA 2018: 6431-6438 - [i3]Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.:
Learning to Race through Coordinate Descent Bayesian Optimisation. CoRR abs/1802.06179 (2018) - [i2]Filipe Marques Barbosa, Lucas Barbosa Marcos, Maíra Martins da Silva, Marco Henrique Terra, Valdir Grassi Jr.:
Robust path-following control for articulated heavy-duty vehicles. CoRR abs/1808.02189 (2018) - [i1]Nícolas dos Santos Rosa, Vitor Guizilini, Valdir Grassi Jr.:
Sparse-to-Continuous: Enhancing Monocular Depth Estimation using Occupancy Maps. CoRR abs/1809.09061 (2018) - 2017
- [c13]Filipe Marques Barbosa, Lucas Barbosa Marcos, Jose Nuno Bueno, Valdir Grassi Jr., Marco Henrique Terra:
Robust recursive lateral control for autonomous vehicles subject to parametric uncertainties. LARS/SBR 2017: 1-5 - [c12]Luiz Ricardo Takeshi Horita, Valdir Grassi Jr.:
Employing a fully convolutional neural network for road marking detection. LARS/SBR 2017: 1-6 - [c11]Daniela A. Ridel, Patrick Yuri Shinzato, Ana Rita Pereira, Valdir Grassi Jr., Denis F. Wolf:
Obstacle avoidance using stereo-based generic obstacle tracking. LARS/SBR 2017: 1-6 - [c10]Júnior A. R. Silva, Valdir Grassi Jr.:
Path planning at roundabouts using piecewise linear continuous curvature curves. LARS/SBR 2017: 1-6 - 2016
- [c9]José Nuno A. D. Bueno, Wenderson Gustavo Serrantola, Rayza Araujo Bezerra, Valdir Grassi Jr.:
LQR and H-Infinity Controls of a Free-Floating Space Manipulator with Two Arms. LARS/SBR 2016: 85-90 - [c8]Fernando Henrique Morais Da Rocha, Valdir Grassi Jr., Vitor Campanholo Guizilini, Fabio Ramos:
Model Predictive Control of a Heavy-Duty Truck Based on Gaussian Process. LARS/SBR 2016: 97-102 - [c7]Mauricio E. Nakai, Roberto S. Inoue, Marco H. Terra, Valdir Grassi Jr.:
Wheeled Mobile Robot Formation Using Recursive Robust Regulator with Discrete-Time Markov Linear System. LARS/SBR 2016: 175-180 - 2015
- [c6]João R. S. Benevides, Valdir Grassi Jr.:
Autonomous Path Planning of Free-Floating Manipulators Using RRT-Based Algorithms. LARS/SBR 2015: 139-144 - [c5]Solander P. L. Agostinho, Marco H. Terra, Valdir Grassi Jr., Carlos Massera Filho, Denis F. Wolf:
Lateral Control Based on Clothoids Curves for Heavy Category Ground Vehicles. LARS/SBR 2015: 342-346 - 2014
- [j3]Leandro Carlos Fernandes, Jefferson R. Souza, Gustavo Pessin, Patrick Yuri Shinzato, Daniel O. Sales, Caio César Teodoro Mendes, Marcos Prado, Rafael Luiz Klaser, André Chaves Magalhães, Alberto Yukinobu Hata, Daniel F. Pigatto, Kalinka Regina Lucas Jaquie Castelo Branco, Valdir Grassi Jr., Fernando Santos Osório, Denis F. Wolf:
CaRINA Intelligent Robotic Car: Architectural design and applications. J. Syst. Archit. 60(4): 372-392 (2014) - [c4]Carlos Massera Filho, Denis F. Wolf, Valdir Grassi Jr., Fernando Santos Osório:
Longitudinal and lateral control for autonomous ground vehicles. Intelligent Vehicles Symposium 2014: 588-593 - 2012
- [j2]Jun Okamoto Jr., Valdir Grassi Jr., Paulo Faria Santos Amaral, Benedito Geraldo Miglio Pinto, Daniel R. Pipa, Gustavo Pinto Pires, Marcus Vinicius Maciel Martins:
Development of an Autonomous Robot for Gas Storage Spheres Inspection. J. Intell. Robotic Syst. 66(1-2): 23-35 (2012) - [c3]Patrick Yuri Shinzato, Valdir Grassi Jr., Fernando Santos Osório, Denis F. Wolf:
Fast visual road recognition and horizon detection using multiple artificial neural networks. Intelligent Vehicles Symposium 2012: 1090-1095
2000 – 2009
- 2007
- [j1]Sarangi P. Parikh, Valdir Grassi Jr., Vijay Kumar, Jun Okamoto Jr.:
Integrating Human Inputs with Autonomous Behaviors on an Intelligent Wheelchair Platform. IEEE Intell. Syst. 22(2): 33-41 (2007) - 2005
- [c2]Sarangi P. Parikh, Valdir Grassi Jr., Vijay Kumar, Jun Okamoto Jr.:
Usability Study of a Control Framework for an Intelligent Wheelchair. ICRA 2005: 4745-4750 - 2004
- [c1]Sarangi P. Parikh, Valdir Grassi Jr., Vijay Kumar, Jun Okamoto Jr.:
Incorporating User Inputs in Motion Planning for a Smart Wheelchair. ICRA 2004: 2043-2048
Coauthor Index
aka: Nicolas dos Santos Rosa
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